π‘ Data Analyst & Builder of Practical Tools
I enjoy turning messy data into clear, simple insight and building small, useful apps that save people time.
My background combines banking & fintech analytics, data science, and hands-on software projects in Python and Android.
- π Data Analytics & BI β Python, SQL, Power BI, and real-world datasets
- π€ Machine Learning for Customer Behaviour β churn, segmentation, forecasting
- π§° Productivity Tools β desktop apps like Text File Searcher, file comparators, and PDF utilities
- π± Android Apps β Kotlin apps like ScholarBio and a crossword puzzle game
Languages & Scripting
- Python, SQL, Kotlin, Java (basics), Bash (basics)
- ML/AI: Scikit-learn, TensorFlow basics, Pandas, NumPy , Matplotlib
- Other Tools: Git, GitHub, Jupyter Notebook , pycharm, Microsoft SQL, NoSQL (Mongo DB)
Data & Machine Learning
- pandas, NumPy, scikit-learn
- Data cleaning and feature engineering
- Classification, regression, customer churn models
- Visualisation with Matplotlib / Power BI
Analytics, Reporting & Databases
- Power BI, Excel (advanced), CSV/Excel data preparation
- Relational databases and querying with SQL
Software & App Development
- Python desktop apps with Tkinter
- Android apps with Kotlin, Retrofit, Room, Hilt, Coil
- Basic Git/GitHub workflow (branches, commits, pull requests)
- Packaging Python apps with PyInstaller (.exe)
Tools I Use Often
- Git & GitHub
- VS Code, PyCharm
- Jupyter Notebook
- Android Studio
- π§ Text File Searcher β Search across .txt files with a simple Tkinter GUI
- π§Ύ DataPrep-Pro β Clean, prepare, and explore datasets faster
- π§± TextFileCompareApp β Compare contents of two text files side by side
- π HexaPDF Editor β Lightweight PDF editing/annotation tool
- π ScholarBio (Android) β Kotlin app with modern Android stack
- π§© Crossword Game (Android) β 1000-word, 100-level crossword with themes and progress tracking
Many of these are available in my repos here on GitHub.
I like building things that are actually used β tools that make data work easier for analysts, students, and developers.
Iβm especially interested in:
- Using ML to understand customer behaviour and reduce churn
- Turning raw transactional data into clear, decision-ready insight
- Sharing my work openly so others can learn from real-world projects
I learn and build continuously, and Iβm slowly shaping this profile into a portfolio for data, ML, and fintech-related work.
- GitHub: github.com/ahmedkansulum
- Email: ahmedkansulum@gmail.com
- LinkedIn: https://linkedin.com/in/ahmed-kansulum-94206635
- Kaggle Portfolio: https://www.kaggle.com/ahmedkansulum
- YouTube Portfolio: add links here if you like
β¨ Thanks for visiting my profile β more projects, refactors, and experiments coming soon π